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Average Ratings 0 Ratings
Description
To succeed in the digital marketplace, it is essential for your data to be of the utmost quality and decision-grade, as it fuels your key operations. Tricentis Data Integrity ensures that your data remains complete and suitable throughout its journey from source systems to data warehouses, ultimately reaching your reports, dashboards, and business operations. The journey of your analytical and operational data is fraught with potential disruptions as it traverses an increasingly intricate IT landscape. Prevent costly downstream problems by identifying data errors early with Tricentis Data Integrity, a comprehensive solution that offers automated and continuous testing across all stages. In the fast-paced digital landscape we face today, relying solely on traditional data testing practices falls short. Outdated manual data checks are not only cumbersome and time-consuming but also lack the scalability needed, while point solutions can create hazardous gaps in your data integrity. Embracing advanced testing tools is now more critical than ever to ensure data reliability and operational success.
Description
Eliminate all manual procedures, potential error sources, and inefficiencies. Avoid the need to constantly re-engineer your data warehouse with every shift in business requirements. Implement automatic quality checks both between and within data sources and respond swiftly when issues arise, which is essential for numerous data users. It’s important to genuinely trust your data now. Create a “gold record” reference point to ensure that business teams always have access to the most up-to-date information available. Establish one unified version of the truth that can be accessed anytime, anywhere. Develop an intermediate model that organizes, stores, and preserves your data independently of how it will be used. Be agile in responding to evolving data sources and business inquiries. Seamlessly connect all your data sources—from data lakes and operational systems to spreadsheets and legacy tools—just like you would with the initial one. Ensure data is stored, preserved, and enhanced in quality to streamline data warehouse automation processes. Data should be organized, enriched, and thoroughly documented so that it is accessible in well-structured datasets (information marts). In doing so, you pave the way for more efficient decision-making across the organization.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Google Sheets
No
Microsoft Excel
No
Microsoft Power BI
No
Planview Hub
Yes
Planview Software Product Delivery
Yes
Qlik Data Integration
No
SAP Store
Yes
SBOX
Yes
Tableau
No
Toucan
No
Integrations
Google Sheets
Yes
Microsoft Excel
Yes
Microsoft Power BI
Yes
Planview Hub
No
Planview Software Product Delivery
No
Qlik Data Integration
Yes
SAP Store
No
SBOX
No
Tableau
Yes
Toucan
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Tricentis
Founded
2007
Country
United States
Website
www.tricentis.com/products/data-integrity/
Vendor Details
Company Name
dFakto
Founded
2000
Country
Belgium
Website
www.dfakto.com/datafaktory-data-warehouse-automation/
Product Features
Automated Testing
Hierarchical View
No
Move & Copy
No
Parameterized Testing
No
Requirements-Based Testing
No
Security Testing
No
Supports Parallel Execution
No
Test Script Reviews
No
Unicode Compliance
No
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No